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Multiresolution subspace-based optimization method for inverse scattering problems |
JOSA A, Vol. 28, Issue 10, pp. 2057-2069 (2011)
http://dx.doi.org/10.1364/JOSAA.28.002057
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Abstract
This paper investigates an approach to inverse scattering problems based on the integration of the subspace-based optimization method (SOM) within a multifocusing scheme in the framework of the contrast source formulation. The scattering equations are solved by a nested three-step procedure composed of (a) an outer multiresolution loop dealing with the identification of the regions of interest within the investigation domain through an iterative information-acquisition process, (b) a spectrum analysis step devoted to the reconstruction of the deterministic components of the contrast sources, and (c) an inner optimization loop aimed at retrieving the ambiguous components of the contrast sources through a conjugate gradient minimization of a suitable objective function. A set of representative reconstruction results is discussed to provide numerical evidence of the effectiveness of the proposed algorithmic approach as well as to assess the features and potentialities of the multifocusing integration in comparison with the state-of-the-art SOM implementation.
© 2011 Optical Society of America
OCIS Codes
(100.3190) Image processing : Inverse problems
(100.6950) Image processing : Tomographic image processing
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(290.3200) Scattering : Inverse scattering
(350.4010) Other areas of optics : Microwaves
ToC Category:
Image Processing
History
Original Manuscript: June 6, 2011
Manuscript Accepted: July 20, 2011
Published: September 13, 2011
Virtual Issues
Vol. 6, Iss. 11 Virtual Journal for Biomedical Optics
Citation
Giacomo Oliveri, Yu Zhong, Xudong Chen, and Andrea Massa, "Multiresolution subspace-based optimization method for inverse scattering problems," J. Opt. Soc. Am. A 28, 2057-2069 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-10-2057
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